Novartis Ag (NVS) Retained Earnings (2009 - 2026)
Novartis Ag (NVS) posted Retained Earnings of $40.86 billion for Q2 2026, down 1.0% from $41.25 billion a year earlier but up 8.0% from the prior quarter.
Novartis Ag (NVS) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Novartis Ag's Retained Earnings came in at $45.41 billion, up 4.9% from FY2024.
- Annual Retained Earnings shows a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- In prior years, Novartis Ag's Retained Earnings was $43.31 billion in FY2024 (-5.6%), $45.88 billion in FY2023 (-21.6%), $58.54 billion in FY2022 (-12.4%) and $66.8 billion in FY2021 (+19.9%).
- Quarterly Retained Earnings has run from a low of $37.37 billion in Q3 2023 to a high of $66.8 billion in Q4 2021 over five years.
- On a year-over-year basis, Retained Earnings increased in five of the last eight quarters, with growth averaging 1.6%.
- The strongest year-over-year quarter for Retained Earnings in the past five years was Q1 2022, with growth of 22.2%; the weakest was Q3 2023, with a decline of 37.7%.
- According to Business Quant data, Retained Earnings for the three prior quarters was $37.82 billion (Q1 2026), $45.41 billion (Q4 2025) and $43.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 171.67 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | -17.33 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 63.27 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 40.86 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 12.59 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | -22.28 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 2.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 112.09 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 15.69 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 20.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.86 Bn |
| Mar 31, 2026 | 37.82 Bn |
| Dec 31, 2025 | 45.41 Bn |
| Sep 30, 2025 | 43.61 Bn |
| Jun 30, 2025 | 41.25 Bn |
| Mar 31, 2025 | 37.62 Bn |
| Dec 31, 2024 | 43.31 Bn |
| Sep 30, 2024 | 42.56 Bn |
| Jun 30, 2024 | 40.97 Bn |
| Mar 31, 2024 | 38.90 Bn |
| Dec 31, 2023 | 45.88 Bn |
| Sep 30, 2023 | 37.37 Bn |
| Jun 30, 2023 | 51.06 Bn |
| Mar 31, 2023 | 51.25 Bn |
| Dec 31, 2022 | 58.54 Bn |
| Sep 30, 2022 | 60.00 Bn |
| Jun 30, 2022 | 62.10 Bn |
| Mar 31, 2022 | 60.70 Bn |
| Dec 31, 2021 | 66.80 Bn |
| Sep 30, 2021 | 55.92 Bn |
Novartis Ag Retained Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=retained-earnings&ticker=NVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "NVS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();